Cong S. Zong
- Molecular Biology top 10%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology
- Cancer Research top 10%
- Co-authors
- Lu‐Hai WangUlrich HermantoJoseph L.‐K. ChanHenry B. SadowskiWeiqun LiCurt M. HorvathDavid T. LevyYixing Jiang
- Topics
- PI3K/AKT/mTOR signaling in cancer (8 papers)Growth Hormone and Insulin-like Growth Factors (6 papers)Cytokine Signaling Pathways and Interactions (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesChina
In The Last Decade
Cong S. Zong
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 825
- Oncology 495
- Endocrinology, Diabetes and Metabolism 205
- Immunology 200
- Cancer Research 168
Countries citing papers authored by Cong S. Zong
This map shows the geographic impact of Cong S. Zong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cong S. Zong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong S. Zong more than expected).
Fields of papers citing papers by Cong S. Zong
This network shows the impact of papers produced by Cong S. Zong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cong S. Zong. The network helps show where Cong S. Zong may publish in the future.
Co-authorship network of co-authors of Cong S. Zong
This figure shows the co-authorship network connecting the top 25 collaborators of Cong S. Zong. A scholar is included among the top collaborators of Cong S. Zong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cong S. Zong. Cong S. Zong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 172 | |
| 3 | 98 | |
| 4 | 16 | |
| 5 | 164 | |
| 6 | 46 | |
| 7 | 54 | |
| 8 | Inhibition of mitogen-activated protein kinase kinase selectively inhibits cell proliferation in human breast cancer cells displaying enhanced insulin-like growth factor I-mediated mitogen-activated protein kinase activation. | 40 |
| 9 | 203 | |
| 10 | 81 | |
| 11 | 26 | |
| 12 | 25 | |
| 13 | 2 | |
| 14 | 33 | |
| 15 | 68 | |
| 16 | 11 | |
| 17 | 23 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 7 |
About Cong S. Zong
Cong S. Zong is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Oncology (495 citations), Endocrinology, Diabetes and Metabolism (205 citations) and Molecular Biology (825 citations). Cong S. Zong has collaborated with scholars based in United States and China. Frequent co-authors include Lu‐Hai Wang, Ulrich Hermanto, Joseph L.‐K. Chan, Henry B. Sadowski, Weiqun Li, Curt M. Horvath, David T. Levy, Yixing Jiang, Weizhou Zhang and Mien‐Chie Hung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.